Hidden Markov Models For Bioinformatics
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Hidden Markov Models For Bioinformatics
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Author : T. Koski
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-11-30
Hidden Markov Models For Bioinformatics written by T. Koski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-11-30 with Mathematics categories.
The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models that have turned out to be useful in genome analysis. Questions of parametric inference, selection between model families, and various architectures are treated. Several examples are given of known architectures (e.g., profile HMM) used in genome analysis. Audience: This book will be of interest to advanced undergraduate and graduate students with a fairly limited background in probability theory, but otherwise well trained in mathematics and already familiar with at least some of the techniques of algorithmic sequence analysis.
Handbook Of Hidden Markov Models In Bioinformatics
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Author : Martin Gollery
language : en
Publisher: CRC Press
Release Date : 2008-06-12
Handbook Of Hidden Markov Models In Bioinformatics written by Martin Gollery and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-12 with Computers categories.
Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models in Bioinformatics focuses on how to choose and use various methods and programs available for hidden Markov models (HMMs). The book begins with discussions on key HMM and related profile methods, incl
Hidden Markov Models For Bioinformatics
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Author : T. Koski
language : en
Publisher: Springer
Release Date : 2001-12-14
Hidden Markov Models For Bioinformatics written by T. Koski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-12-14 with Mathematics categories.
Hidden Markov Models
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Author : David R. Westhead
language : en
Publisher:
Release Date : 2017
Hidden Markov Models written by David R. Westhead and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Bioinformatics categories.
"This volume aims to provide a new perspective on the broader usage of Hidden Markov Models (HMMs) in biology. Hidden Markov Models: Methods and Protocols guides readers through chapters on biological systems; ranging from single biomolecule, cellular level, and to organism level and the use of HMMs in unravelling the complex mechanisms that govern these complex systems. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Hidden Markov Models: Methods and Protocols aims to demonstrate the impact of HMM in biology and inspire new research." -- OCLC.
Hidden Markov Models And Some Applications In Bioinformatics
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Author : Maryam Alyasin Arvizu
language : en
Publisher:
Release Date : 2003
Hidden Markov Models And Some Applications In Bioinformatics written by Maryam Alyasin Arvizu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Algorithms categories.
Hidden Markov Processes
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Author : M. Vidyasagar
language : en
Publisher: Princeton University Press
Release Date : 2014-08-24
Hidden Markov Processes written by M. Vidyasagar and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-24 with Mathematics categories.
This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. The book starts from first principles, so that no previous knowledge of probability is necessary. However, the work is rigorous and mathematical, making it useful to engineers and mathematicians, even those not interested in biological applications. A range of exercises is provided, including drills to familiarize the reader with concepts and more advanced problems that require deep thinking about the theory. Biological applications are taken from post-genomic biology, especially genomics and proteomics. The topics examined include standard material such as the Perron-Frobenius theorem, transient and recurrent states, hitting probabilities and hitting times, maximum likelihood estimation, the Viterbi algorithm, and the Baum-Welch algorithm. The book contains discussions of extremely useful topics not usually seen at the basic level, such as ergodicity of Markov processes, Markov Chain Monte Carlo (MCMC), information theory, and large deviation theory for both i.i.d and Markov processes. The book also presents state-of-the-art realization theory for hidden Markov models. Among biological applications, it offers an in-depth look at the BLAST (Basic Local Alignment Search Technique) algorithm, including a comprehensive explanation of the underlying theory. Other applications such as profile hidden Markov models are also explored.
Hidden Markov Model In Bioinformatics
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Author : Zhong Li
language : en
Publisher:
Release Date : 1997
Hidden Markov Model In Bioinformatics written by Zhong Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
Bioinformatics Sequence Alignment And Markov Models
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Author : Kal Renganathan Sharma
language : en
Publisher: McGraw Hill Professional
Release Date : 2008-09-29
Bioinformatics Sequence Alignment And Markov Models written by Kal Renganathan Sharma and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-29 with Technology & Engineering categories.
GET FULLY UP-TO-DATE ON BIOINFORMATICS-THE TECHNOLOGY OF THE 21ST CENTURY Bioinformatics showcases the latest developments in the field along with all the foundational information you'll need. It provides in-depth coverage of a wide range of autoimmune disorders and detailed analyses of suffix trees, plus late-breaking advances regarding biochips and genomes. Featuring helpful gene-finding algorithms, Bioinformatics offers key information on sequence alignment, HMMs, HMM applications, protein secondary structure, microarray techniques, and drug discovery and development. Helpful diagrams accompany mathematical equations throughout, and exercises appear at the end of each chapter to facilitate self-evaluation. This thorough, up-to-date resource features: Worked-out problems illustrating concepts and models End-of-chapter exercises for self-evaluation Material based on student feedback Illustrations that clarify difficult math problems A list of bioinformatics-related websites Bioinformatics covers: Sequence representation and alignment Hidden Markov models Applications of HMMs Gene finding Protein secondary structure prediction Microarray techniques Drug discovery and development Internet resources and public domain databases
Probabilistic Modeling In Bioinformatics And Medical Informatics
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Author : Dirk Husmeier
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-06
Probabilistic Modeling In Bioinformatics And Medical Informatics written by Dirk Husmeier and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-05-06 with Computers categories.
Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
Hardware Acceleration Of Hidden Markov Models For Bioinformatics Applications
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Author : Shakha Gupta
language : en
Publisher:
Release Date : 2004
Hardware Acceleration Of Hidden Markov Models For Bioinformatics Applications written by Shakha Gupta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Amino acid sequence categories.